



import os
from argparse import ArgumentParser
from typing import List

import torch.utils.data

from datasets import Dataset, IterableDataset
from datasets.distributed import split_dataset_by_node


lowerCAmelCase__	    =    4
lowerCAmelCase__	    =    3

class  snake_case__(_UpperCAmelCase     ):

					"""simple docstring"""






					pass






def    __lowerCamelCase   (  lowerCamelCase__		):

				"""simple docstring"""


				for shard in shards:
								for i in range(lowerCamelCase__		):
												yield {"i": i, "shard": shard}


def    __lowerCamelCase   (  ):

				"""simple docstring"""


				lowercase__	:       Dict						=	int(os.environ["RANK"]		)
				lowercase__	:       Tuple						=	int(os.environ["WORLD_SIZE"]		)

				lowercase__	:       str						=	ArgumentParser()
				parser.add_argument("--streaming"	,					type=lowerCamelCase__		)
				parser.add_argument("--local_rank"	,					type=lowerCamelCase__		)
				parser.add_argument("--num_workers"	,					type=lowerCamelCase__	,					default=0		)
				lowercase__	:       Union[str, Any]						=	parser.parse_args()
				lowercase__	:       Optional[int]						=	args.streaming
				lowercase__	:       Tuple						=	args.num_workers

				lowercase__	:       Any						=	{"shards": [F"""shard_{shard_idx}""" for shard_idx in range(lowerCamelCase__		)]}
				lowercase__	:       List[str]						=	IterableDataset.from_generator(lowerCamelCase__	,					gen_kwargs=lowerCamelCase__		)
				if not streaming:
								lowercase__	:       Dict						=	Dataset.from_list(list(lowerCamelCase__		)		)

				lowercase__	:       Any						=	split_dataset_by_node(lowerCamelCase__	,					rank=lowerCamelCase__	,					world_size=lowerCamelCase__		)
				lowercase__	:       Any						=	torch.utils.data.DataLoader(lowerCamelCase__	,					num_workers=lowerCamelCase__		)

				lowercase__	:       Union[str, Any]						=	NUM_SHARDS * NUM_ITEMS_PER_SHARD
				lowercase__	:       List[str]						=	full_size // world_size
				expected_local_size += int(rank < (full_size % world_size)		)

				lowercase__	:       Union[str, Any]						=	sum(1 for _ in dataloader		)
				if local_size != expected_local_size:
								raise FailedTestError(F"""local_size {local_size} != expected_local_size {expected_local_size}"""		)


if __name__ == "__main__":
				main()





def 							UpperCAmelCase		(       lowercase				,     lowercase				):







				"""simple docstring"""



				__lowercase					     =				len(lowercase				)
				__lowercase					     =				len(lowercase				)
				__lowercase					     =				[[False for _ in range(m + 1				)] for _ in range(n + 1				)]
				__lowercase					     =				True
				for i in range(lowercase				):
								for j in range(m + 1				):
												if dp[i][j]:
																if j < m and a[i].upper() == b[j]:
																				__lowercase					     =				True
																if a[i].islower():
																				__lowercase					     =				True
				return dp[n][m]


if __name__ == "__main__":
		import doctest

		doctest.testmod()